The Labour Force Survey Process- The Jamaican Experience CARICOM 2 nd High Level Advocacy Forum on Statistics Presented by: Carol Coy The Statistical Institute.

Slides:



Advertisements
Similar presentations
National Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics in Turkey Tuna KEMALİ 10 September 2013 Ankara.
Advertisements

January 30-February 1, 2013 Kingston, Jam aica The Statistical Institute of Jamaica.
Labour Force Historical Review Sandra Keys, University of Waterloo DLI OntarioTraining University of Guelph, Guelph, ON April 12, 2006.
Labour market statistics in Poland. Labour supply, labour demand employment, job vacancy, unemployment Current statistics How we collect the data Household.
REPUBLIC OF TURKEY TURKISH STATISTICAL INSTITUTE TurkStat Population and Demography Statistics Department Population and Migration Statistics Team
© John M. Abowd 2005, all rights reserved Household Samples John M. Abowd March 2005.
Labor Statistics in the United States Grace York March 2004.
United Nations Workshop on Revision 3 of Principles and recommendations for Population and Housing Censuses and Census Evaluation Amman, Jordan, 19 – 23.
Methodology for a school- leavers’ survey Irena Kogan MZES, University of Mannheim.
Overview of the International classification of occupations (ISCO) A case for Uganda Ssennono vincent.
National Statistical Office, Thailand 2-6 December 2013, Hanoi, Viet Nam Census Evaluation.
Day 1, Session 3, UN Workshop on Improving the Intergation of a Gender Perspective inti Official Chiba, Japan April 2013 Saidah Hashim.
Producing migration data using household surveys Experience of the Republic of Moldova UNECE Work Session on Migration Statistics, Geneva, October.
Census Census of Population, Housing,Buildings,Establishments and Agriculture Huda Ebrahim Al Shrooqi Central Informatics Organization.
The new HBS Chisinau, 26 October Outline 1.How the HBS changed 2.Assessment of data quality 3.Data comparability 4.Conclusions.
United Nations Workshop on Revision 3 of Principles and recommendations for Population and Housing Censuses and Census Evaluation Amman, Jordan, 19 – 23.
Estonian Labour Force Survey Ülle Pettai Leading Statistician Social Surveys Service Population and Social Statistics Department.
Estimating the Labour Force Trinidad and Tobago 28 th May 2014 Sterling Chadee Director of Statistics.
STATISTICSSTATISTIQUECANADA Aboriginal Labour Force Survey Province of Alberta.
PREPARATION, ORGANISATION AND CONDUCTING OF THE POST- ENUMERATION SURVEY IN THE STATE STATISTICAL OFFICE OF THE REPUBLIC OF MACEDONIA Skopje, May 2008.
Labour Force Survey By Munir Ahamd Aslam Director FBS Presentation on FBS – May, 2006.
PROMOTING DECENT WORK FOR ALL ILO Decent Work Team and Office for the Caribbean May 2014, Grenada.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys United.
REFERENCE METADATA FOR DATA TEMPLATE Ales Capek EUROSTAT.
Project Implementation in ECLAC & ESCAP Region Workshop on Informal Employment and Informal Sector Data Collection: Strategy, Tools and Advocacy
Central egency for public mobilization and statistics.
Emerging methodologies for the census in the UNECE region Paolo Valente United Nations Economic Commission for Europe Statistical Division International.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys Bangkok,
Copyright 2010, The World Bank Group. All Rights Reserved. Sources of Agricultural Data Section A 1.
Conducting and Analysing Labour Force Surveys for Monitoring of the Labour Market, ِِ Amman November 2012 Challenges and Opportunities Labour Force.
1 GENDER ISSUES in Labour Household Surveys TURIN, 9-12 Dec.2008 AHMAD HUSSEIN CONSULTANT BASED ON DOCUMENTS PREPARED.
European Conference on Quality in Official Statistics Session 26: Quality Issues in Census « Rome, 10 July 2008 « Quality Assurance and Control Programme.
1 Sri Lanka Quarterly Labour Force Survey. Household surveys before 1990 Labour Force and Socio Economic Survey (LFSES) 1980/811985/86 After 5 years /70.
DATA EVALUATION METHODS USED IN THE PREVIOUS CENSUSES POST ENUMERATION AND DEMOGRAHIC ANALYSIS Gebeyehu Abelti Deputy Director General, Population & Social.
The 2010 Population and Housing Census of Mongolia: Census PES 1 A.Amarbal Director of Population and Housing Census Bureau, National Statistical Office.
1 Non-Response Non-response is the failure to obtain survey measures on a sample unit Non-response increases the potential for non-response bias. It occurs.
Instituto Nacional de Estadística, Geografía e Informática (INEGI), Mexico National Economic Surveys (NES) Jun 2007.
The Role of Metadata in Census Data Dissemination Presented By Mrs. Shirley Christian-Maharaj Assistant Director of Statistics CSO Trinidad &Tobago.
Chapter Eleven The entire group of people about whom information is needed; also called the universe or population of interest. The process of obtaining.
Panel discussion: Q2a A.S. Young ILO Bureau of Statistics.
Copyright 2010, The World Bank Group. All Rights Reserved. Part 2 Survey Design Produced in Collaboration between World Bank Institute and the Development.
1 South Africa Design and Implementation of Labour Force Surveys Yandiswa Mpetsheni South Africa.
Improving of Household Sample Surveys Data Quality on Base of Statistical Matching Approaches Ganna Tereshchenko Institute for Demography and Social Research,
GENERAL POPULATION SURVEY METHODOLOGY
Conducting and Analysing Labour Force Surveys for Monitoring of the Labour Market, ِِ Amman November 2012 Overview Labour Force Surveys/ Arab countries.
United Nations Regional Workshop on the 2010 World Programme on Population and Housing Censuses: Census Evaluation and Post Enumeration Surveys Asunción,
Page 1. Page 2 Page 3 To provide population and housing data at various geographical level To use as inputs for population estimates and projection,
Session 5: International Standard Classification of Status in Employment, 1993 (ICSE-93) David Hunter International Labour Office Department of Statistics.
CASE STUDIES OF SOME SURVEYS IN SADC COUNTRIES Experience from Tanzania Household Surveys and Measurement of Labour Force with Focus on Informal Economy.
13-Jul-07 Item 1 – Introduction. 13-Jul-07WG Core variables in social surveys Name of the presentation 16 Core Variables… 1.Geographic data I (linked.
Employment and unemployment statistics Joachim Recktenwald Head of Unit F2 Labour Market Statistics.
REPUBLIC OF TURKEY TURKISH STATISTICAL INSTITUTE TurkStat Demography Statistics Department Population and Migration Statistics Group EXPERIENCES.
Douglas Forbes Director, Surveys Statistical Institute of Jamaica.
CENSUS MICRODATA OF TURKEY Meryem DEMIRCI, Turkish Statistical Institute, June, 2006.
1 Economically Active Population Survey Dong-Wook JEONG Employment Statistics Div. Statistics Korea.
6/23/2016 LISGIS Labour Force Survey- Liberia’s Experience Presentation by: Yusuff M. Sarnoh Senior Research Officer Liberia Institute of Statistics.
CENSUS MICRODATA : THAILAND NATIONAL STATISTICAL OFFICE by PAKAMAS RATTANALANGKARN Thailand National Statistical Office.
United Nations Statistics Division
Annual labour force surveys
Post Enumeration Survey Census
Woman Participation in the Palestinian Labour Market
2011 POPULATION AND HOUSING CENSUS OF TURKEY
Annual labour force surveys
Post Enumeration Surveys Pres. 2
2011 POPULATION AND HOUSING CENSUS PREPARATORY WORKS
CENSUS MICRODATA : THAILAND
2011 POPULATION AND HOUSING CENSUS PREPARATORY WORKS
Telling Canada’s story in numbers Marie-Josée Major
Woman Participation in the Palestinian Labour Market
Key Considerations for Planning and Management of Census Operations
Presentation transcript:

The Labour Force Survey Process- The Jamaican Experience CARICOM 2 nd High Level Advocacy Forum on Statistics Presented by: Carol Coy The Statistical Institute of Jamaica

Overview The Labour Force Survey is a household survey which has been consistently conducted in Jamaica since its inception in1968. The Survey targets members of the civilian, non-institutional households who are 14 years old and over in all the parishes of Jamaica.

Overview The survey is conducted on a quarterly basis and provides detailed information on a variety of issues related to the Jamaican labour market Some of the topics covered include: ◦ Demographics characteristics  Age, sex, relationship to household head, educational attainment

Overview Main labour related characteristics ◦ Employment, unemployment, under- employment, hours of work. Other labour related characteristics ◦ Industry, occupation, status in employment, participation rate, duration of employment, duration of unemployment, reason for not being in the labour force, employment in the informal sector etc.

Overview Geographical Coverage: Entire country, that is, all parishes (urban and rural) Population Coverage: Entire population excluding the following groups: ◦ Armed forces living in barracks and foreigners. ◦ Persons living in institutions such as prisons, place of safety and hospitals

The labour Force Survey Process All surveys at STATIN follow the organization’s Statistical Core Process. Involves an inter-divisional coordination process

The labour Force Survey Process 1. Design & planning 2. Data collection 3. Data processing 4. Analysis & report writing 5. Dissemination 6. Archiving 7. Evaluation

Design & Planning Phase Stakeholder needs- STATIN is a member of the Labour Market Indicator Committee chaired by PIOJ and includes the Ministry of Labour Concepts and definitions: The survey uses those developed by the ILO

Design & Planning Phase Classification System: ◦ Industry – Jamaica Industrial Classification JIC(2005) linked to the International Standard Industrial Classification (ISIC) Rev.3 ◦ Occupation – Jamaica Standard Occupational Classification (JSOC) 1991 ◦ Status in Employment (Linked to international classifications: ICSE – 1993

Design & Planning Phase Sample Design The Labour Force Survey design is a two stage stratified sample design: First stage is a selection of areas called enumeration districts (EDs). Second stage is a selection of dwellings within the selected EDs A panel formation is used.

Design & Planning Phase Sample Design cont’d Advantages of panel formation ◦ Several rounds of data collection are needed to measure changes over time ◦ Eliminates the necessity to follow movers from a dwelling since the upcoming household serves as a replacement ◦ Minimizes respondent fatigue

Data Collection Sample Size Over 8,000 dwellings in 508 Enumeration Districts (Eds) are visited during each labour force survey households visited each survey which represents approximately 1% of the number of households in Jamaica.

Data Collection Periodicity of Survey: Four quarterly surveys are conducted each year in January, April, July and October The reference period for the survey is usually the last working week preceding the start of the survey. Main mode of data collection is face-to- face interview

Data Collection Since 2013 an electronic data collection system (eDacs) has replaced paper questionnaire. Data now collected on tablet computers 92 persons involved in the data collection process Data collection takes on average 4 weeks

Data Processing Data now uploaded to main office from Field offices via wireless Followed by coding & editingWeights The weights applied to the labour force survey data include a Non-response weight and a Post stratification weight

Data Processing Non-Response Weight – applied at the ED level with adjustments being made for dwellings that did not respond Post stratification weights are applied to raise the sample population to the “All Jamaica” 14 years and over population using the age/sex structure and census population totals or inter-censal estimates

Analyze & Report Reliability of the Estimates The reliability and accuracy of estimates from a sample survey is dependent mainly on the sample design. However estimates from all surveys are subjected to errors. Survey estimates are subjected to two types of errors: ◦ Sampling errors ◦ Non-sampling errors

Sampling Errors Sampling errors occur because estimates from a survey are based on information collected from a sample rather than the population The most common measure of the likely differences is the standard error. The standard error indicates the extent to which a survey estimate is likely to deviate from the true population.

Non-sampling Errors Non-sampling errors are difficult to measure and usually consist of the following: ◦ Non-response error ◦ Coverage error ◦ Measurement error ◦ Processing error

Non-sampling Errors STATIN has implemented quality assurance procedures to reduce errors in the survey. These include: Taking steps to prevent or minimise errors at the planning and design phases of the survey Effective training programme for the data collection staff

Non-sampling Errors Effective supervision of the survey Continuous encouragement of the respondents to participate fully and answer accurately to all the questions

Expansion of the Survey As part of its mandate STATIN at intervals reviews stakeholder needs in order to ensure that their data needs are being met. STATIN has implemented ◦ Estimates for underemployment since January 2010 ◦ Estimates of informal sector employment Since 2011

Underemployment Underemployment is time related and occurs when employed persons would like to work more hours, at the prevailing wage rates, than they actually work and are actively seeking and are available to work those additional hours

Underemployment In order to be classified as underemployed, one must have worked less than 35 hours per week in the reference period, be available to work additional hours and is looking for additional hours of work.

Informal Sector Employment Methodology closely follows the definition proposed by the 17 th ICLS – informal sector defined according to the employment characteristics of the worker Focused on the main job of the respondent

Informal Sector Employment Specially developed instrument attached to the quarterly labour Force Survey The data collection instrument was developed in collaboration with ILO Sub- regional Office in the Caribbean Informal sector is defined only in respect of non-agricultural activities

Dissemination Results of the survey are disseminated with a three month lag Advance release calendar on STATIN’s web site provides stakeholders with release dates six months in advance Data are released by press releases, posted on web site and via bulletins Annual report provides more detailed information for the calendar year.

Dissemination STATIN also provides anonymised micro data to clients at a cost Labour Force data sets are provided to the UWI and UTECH for research